Senior AI​/ML Engineer

Senior AI/ML Engineer page is loaded## Senior AI/ML Engineer remote type:
Hybrid-San Diego locations:
San Diego, CAtime type:
Full time posted on:
Posted Todayjob requisition :
JR000579

Crinetics is a pharmaceutical company based in San Diego, California, developing much-needed therapies for people with endocrine diseases and endocrine-related tumors. We were founded by a dedicated team of scientists with the simple belief that better therapies developed from rigorous innovation can lead to better lives. Our work continues to make a real difference in the lives of patients. We have a prolific discovery engine and a robust preclinical and clinical development pipeline.

We are driven by science with a patient-centric and team-oriented culture. Crinetics is known for its inclusive workplace culture. We are also a dog-friendly workplace. This is an exciting time to join Crinetics as we shape our organization into the world’s premier fully-integrated endocrine company from discovery to patients. Join our team as we transform the lives of others.
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* Position Summary:

** Crinetics Pharmaceuticals is seeking a highly motivated and experienced Senior AI/ML Engineer to join our newly formed Enterprise Solutions & Innovation group. This is a unique opportunity to be a foundational member of a team that will drive the adoption of artificial intelligence and machine learning across the organization. The successful candidate will be a key contributor in shaping our AI/ML strategy, evaluating and implementing solutions, and demonstrating the value of data-driven decision-making.

This role requires a blend of deep technical expertise, strategic thinking, and the ability to collaborate effectively with cross-functional teams.
** Essential Job Functions and Responsibilities:
** These may include but are not limited to:
* Strategic Development:
Collaborate with the Executive Director of Enterprise Solutions & Innovation to define and execute the company's AI/ML roadmap. Identify and prioritize high-impact use cases across various business functions, including research, clinical development, manufacturing, and commercial operations.
* Solution Evaluation and Implementation:
Lead the technical evaluation of both internal and external AI/ML solutions. Design, build, and deploy scalable and robust machine learning models on our Azure/Databricks platform. Assess and integrate vendor-provided AI/ML technologies, ensuring they meet our scientific and business requirements.

* Cross-Functional Collaboration:

Partner with stakeholders from R&D, Clinical Operations, Regulatory Affairs, and other departments to understand their needs and translate them into data science questions and solutions. Serve as a subject matter expert on AI/ML, providing guidance and training to colleagues.
* Data and

Infrastructure: Work closely with IT and data engineering teams to ensure the availability and quality of data required for AI/ML initiatives. Contribute to the development of our data infrastructure and best practices for data governance and management.
* Innovation and Research:
Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science. Champion a culture of innovation by exploring novel approaches and technologies that can be applied to our business challenges.
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* Education and Experience:

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* Required:

* Education:

Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Computational Biology, or a related discipline.

* Experience:

8 years with 3-5 years of hands-on experience in data science and machine learning, with a proven track record of developing and deploying AI/ML models in a corporate environment.
* Technical

Skills:

+ Expert proficiency in programming languages such as Python or R.  + Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch).  + Strong knowledge of SQL and experience working with relational and non-relational databases.  + Hands-on experience with cloud computing platforms, preferably Microsoft Azure and Databricks.  + Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD.

* Soft Skills:

+ Excellent problem-solving and analytical skills.  + Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical audiences.  + Demonstrated ability to work independently and as part of a collaborative team.  + A strategic mindset and the ability to think creatively and drive innovation.

Preferred:
* Experience in the biopharmaceutical or biotechnology industry.
* Familiarity with drug discovery and development processes.
* Experience with life sciences data sources (e.g., genomic data, clinical trial data, real-world evidence).
* Knowledge of GxP regulations and experience working in a regulated environment.
** Physical Demands and Work Environment:
** Physical

Activities:

On a continuous basis, sit at desk for a long…